4.6 Article

Comparative analysis of codon usage patterns in chloroplast genomes of five Miscanthus species and related species

Journal

PEERJ
Volume 9, Issue -, Pages -

Publisher

PEERJ INC
DOI: 10.7717/peerj.12173

Keywords

Miscanthus species; Chloroplast genome; Codon usage pattern; Codon optimization

Funding

  1. Natural Science Foundation of the Jiangsu Higher Education Institutions of China [19KJB180023]
  2. Postdoctoral Science Foundation of China [2019M662719]

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This study systematically analyzed the codon usage patterns of Miscanthus plants and related species, revealing a preference for A/T bases and A/T-ending codons in the chloroplast genomes. The results suggested that the codon usage patterns are mainly influenced by natural selection, and Arabidopsis thaliana, Populus trichocarpa, and Saccharomyces cerevisiae could be considered as preferential exogenous expression receptors.
Miscanthus is not only a perennial fiber biomass crop, but also valuable breeding resource for its low-nutrient requirements, photosynthetic efficiency and strong adaptability to environment. In the present study, the codon usage patterns of five different Miscanthus plants and other two related species were systematically analyzed. The results indicated that the cp genomes of the seven representative species were preference to A/T bases and A/T-ending codons. In addition, 21 common highfrequency codons and 4-11 optimal codons were detected in the seven chloroplast genomes. The results of ENc-plot, PR2-plot and neutrality analysis revealed the codon usage patterns of the seven chloroplast genomes are influenced by multiple factors, in which nature selection is the main influencing factor. Comparative analysis of the codon usage frequencies between the seven representative species and four model organisms suggested that Arabidopsis thaliana, Populus trichocarpa and Saccharomyces cerevisiae could be considered as preferential appropriate exogenous expression receptors. These results might not only provide important reference information for evolutionary analysis, but also shed light on the way to improve the expression efficiency of exogenous gene in transgenic research based on codon optimization.

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